Run WizardLM 33B v1.0 on Mac
WizardLM 33B v1.0 runs 100% private on Mac inside Private LLM — no internet connection required, no data sent to any server.
Download the quantized weights
These are the exact OmniQuant weights Private LLM runs for WizardLM 33B v1.0, published on our Hugging Face org. They're standard weights you can load in any app that supports the format, not just Private LLM.
Specifications
- Parameters
- 33B
- Context window
- 2K tokens
- License
- Other
- Quantization
- OmniQuant 4-bit
- Family
- Llama 33B
What WizardLM 33B v1.0 is good at
This is a retrained version of the WizardLM 30B model using a filtered dataset to make it less likely to refuse requests or show bias. It is designed to be more compliant than the original WizardLM 7B model. The model has no built-in safety restrictions, so users are fully responsible for what they do with it.
Which of your devices can run it
Mac
How to run WizardLM 33B v1.0 in Private LLM
- Download Private LLM from the App Store.
- Open the in-app model library and choose WizardLM 33B v1.0.
- Download the model once, then chat fully offline.
Variants & related models
DeepSeek R1 Distill Llama 8B Abliterated
Frequently asked questions
WizardLM 33B v1.0 is too large for current iPhones. It runs on Mac with enough unified memory inside Private LLM, fully offline.
Yes. WizardLM 33B v1.0 runs on Macs with enough unified memory, such as Mac (Apple Silicon, 192GB), MacBook Pro (M4 Max, 128GB), Mac Studio / Pro (Apple Silicon, 96GB), MacBook Pro (M4 Max, 64GB), MacBook Pro (M4 Max, 48GB), MacBook Pro (M4 Max, 36GB), Mac (Apple Silicon, 32GB), MacBook Air (M4, 24GB), fully on-device in Private LLM.
Yes. Once downloaded in Private LLM, WizardLM 33B v1.0 runs 100% on-device — no internet connection, and nothing is sent to any server.
Private LLM is a one-time purchase with no subscription and no per-message cost. The models themselves are open source — once downloaded, they run offline with nothing to pay per use.
Why run WizardLM 33B v1.0 in Private LLM
Private LLM has run local AI on iPhone, iPad, and Mac since 2023, before Apple Intelligence existed. Inference happens on your device, so your WizardLM 33B v1.0 conversations never reach a server. The part most apps gloss over is quantization, and that is exactly where on-device quality is won or lost. Most llama.cpp and MLX wrappers ship the same off-the-shelf 4-bit RTN weights. Private LLM ships GPTQ and OmniQuant quantization, tuned per model, and our 3-bit OmniQuant models match or beat those 4-bit RTN builds on the same Apple Silicon. Run the same model both ways and you feel it in the first reply. See how our quantization works.
Specifications and summary come from WizardLM 33B v1.0's Hugging Face model card. Private LLM ships its own quantized models, built with OmniQuant quantization tuned per model, and isn't affiliated with the model's authors.